SLEEP ALERT SYSTEM FOR DRIVERS

SLEEP ALERT SYSTEM FOR DRIVERS

Registration ID: IJNRD_201067

Published ID: IJNRD2307080

DOI: http://doi.one/10.1729/Journal.35115

vedant sharma

machine learning, ANN, CNN, jupyterlab, Keras, haar cascade, classifier, Adam optimizer, RELU, Softmax, Pre-processing, OpenCV, inceptionV3, VGGNet, RESnet

The primary goal of this project was to create a system that can monitor the state of a person's eyes in real-time using computer vision and deep learning techniques. The main focus was on determining whether the eyes were open or closed, with practical applications in detecting driver drowsiness and monitoring fatigue levels to enhance safety and alertness. The project followed a systematic approach that commenced with gathering and preparing a dataset of eye images. To build the model, transfer learning was employed, utilizing the InceptionV3 model as the base and incorporating additional layers for classification. The model was trained using data augmentation techniques and optimized with the Adam optimizer and categorical cross-entropy loss function. For real-time monitoring, the system implemented face and eye detection algorithms to identify the specific area of interest containing the eyes in each frame. By tracking the duration of open or closed eyes, the system triggered an alarm if the eyes remained closed for an extended period, indicating potential drowsiness or fatigue. Although the monitoring system was successfully developed and implemented, future enhancements could involve incorporating more diverse datasets, refining the model architecture, and optimizing the detection algorithms. Overall, this project serves as a demonstration of the capabilities of computer vision and deep learning in eye state monitoring, opening up possibilities for further research and applications in safety and attention tracking domains.

Published Paper   E-Certificate

"SLEEP ALERT SYSTEM FOR DRIVERS", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 7, page no.a638-a652, July-2023, Available :https://ijnrd.org/papers/IJNRD2307080.pdf

Volume 8 Issue 7, July-2023

Pages : a638-a652

Paper Reg. ID: IJNRD_201067

Published Paper Id: IJNRD2307080

Downloads: 000121146

Research Area: Computer Science & Technology 

Country: vidisha , Madhaya Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2307080.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307080

DOI: http://doi.one/10.1729/Journal.35115

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area